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1. 发明申请

US20160379520A1 NUTRIENT DENSITY DETERMINATIONS TO SELECT HEALTH PROMOTING CONSUMABLES AND TO PREDICT CONSUMABLE RECOMMENDATIONS 审中-公开
标题翻译：选择健康促进消费的营养密度决定和预测消费建议
公开(公告)号：US20160379520A1
公开(公告)日：2016-12-29
申请号：US14749622
申请日：2015-06-24
申请人： Laura Borel , Monica Rogati , Christian Middleton , Emi Nomura , Max Everett Utter, II
发明人： Laura Borel , Monica Rogati , Christian Middleton , Emi Nomura , Max Everett Utter, II
IPC分类号： G09B19/00 , G09B5/02
CPC分类号： G09B19/0092 , G09B5/02 , G09B5/125 , G16H20/60
摘要： Various embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing and audio devices for monitoring and managing health and wellness. More specifically, disclosed are methods, interfaces, and computer-readable media to generate predictive consumable recommendations and indicators to determine nutrient density of health-promoting nutrients in consumables, such as food, drink, supplements, and the like. In one or more embodiments, a flow includes identifying nutritional content of one or more consumables, selecting a first element of the one or more consumables, identifying the first element as a first nutrient, and identifying a second element of the one or more consumables. Further, the flow includes characterizing an association between the first nutrient and the second element, and determining an indicator indicative of a nutrient density of at least the first element included in the one or more consumables. In one example, the indicator includes a food score.
摘要翻译：各种实施例通常涉及电气和电子硬件，计算机软件，有线和无线网络通信以及用于监测和管理健康和健康的可穿戴计算和音频设备。更具体地，公开了方法，界面和计算机可读介质，以产生预测性可消耗的建议和指标，以确定诸如食物，饮料，补充剂等之类的消耗品中的健康促进营养物质的营养物质密度。在一个或多个实施方案中，流程包括识别一种或多种消耗品的营养成分，选择所述一种或多种消耗品的第一元素，将第一元素识别为第一营养物，以及鉴定所述一种或多种消耗品的第二元素。此外，流程包括表征第一营养物和第二元素之间的关联，以及确定指示至少包含在一个或多个消耗品中的第一元素的营养物密度的指示符。在一个示例中，指标包括食物分数。

2. 发明授权

US08620669B2 Automated sentence planning in a task classification system 有权
标题翻译：任务分类系统中的自动句子计划
公开(公告)号：US08620669B2
公开(公告)日：2013-12-31
申请号：US13470913
申请日：2012-05-14
申请人： Marilyn A. Walker , Owen Christopher Rambow , Monica Rogati
发明人： Marilyn A. Walker , Owen Christopher Rambow , Monica Rogati
IPC分类号： G06F17/27 , G10L15/00 , G10L25/00
CPC分类号： G10L13/027 , G10L15/1822 , G10L15/22 , H04M3/4936 , H04M2201/40 , H04M2203/355
摘要： Disclosed is a task classification system that interacts with a user. The task classification system may include a recognizer that may recognize symbols in the user's input communication, and a natural language understanding unit that may determine whether the user's input communication can be understood. If the user's input communication can be understood, the natural language understanding unit may generate understanding data. The system may also include a communicative goal generator that may generate communicative goals based on the symbols recognized by the recognizer and understanding data from the natural language understanding unit. The generated communicative goals may be related to information needed to be obtained from the user. The system may further include a sentence planning unit that may automatically plan one or more sentences based on the communicative goals generated by the communicative goal generator with at least one of the sentences plans being output to the user.
摘要翻译：公开了与用户交互的任务分类系统。任务分类系统可以包括可以识别用户输入通信中的符号的识别器，以及可以确定用户的输入通信是否可以被理解的自然语言理解单元。如果可以理解用户的输入通信，则自然语言理解单元可以产生理解数据。该系统还可以包括通信目标生成器，其可以基于由识别器识别的符号并且理解来自自然语言理解单元的数据来生成通信目标。所产生的交际目标可能与从用户获得的信息有关。该系统可以进一步包括句子计划单元，其可以基于由通信目标生成器生成的通信目标自动地计划一个或多个句子，其中至少一个句子计划被输出给用户。

3. 发明授权

US08972414B2 Methods and systems for identifying similar people via a business networking service 有权
标题翻译：通过商业网络服务识别类似的人的方法和系统
公开(公告)号：US08972414B2
公开(公告)日：2015-03-03
申请号：US13194883
申请日：2011-07-29
申请人： Christian Posse , Abhishek Gupta , Anmol Bhasin , Monica Rogati
发明人： Christian Posse , Abhishek Gupta , Anmol Bhasin , Monica Rogati
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30554 , G06F17/30867 , H04L67/22 , H04L67/306
摘要： Techniques for identifying and presenting member profiles similar to a source member profile are described. With some embodiments, a general recommendation engine is used to extract features from member profiles, and then store the extracted features, including any computed, derived or retrieved profile features, in an enhanced member profile. In real-time, the general recommendation engine processes client requests to identify member profiles similar to a source member profile by comparing select profile features stored in the enhanced member profile with corresponding profile features of the source member profile, where the comparison results in several similarity sub-scores that are then combined in accordance with directives set forth in a configuration file. Finally, the member profiles with the highest similarity scores corresponding with the user-selected member profile are selected, and in some instances, presented to a user.
摘要翻译：描述用于识别和呈现类似于源成员简档的成员简档的技术。利用一些实施例，使用通用推荐引擎从成员简档中提取特征，然后将所提取的特征（包括任何计算的，导出的或检索到的简档特征）存储在增强的成员简档中。实时地，一般推荐引擎通过将存储在增强成员简档中的选择简档特征与源成员简档的相应简档特征进行比较来处理客户端请求以识别类似于源成员简档的成员简档，其中比较导致几种相似性然后根据配置文件中列出的指令组合子分数。最后，选择与用户选择的成员简档相对应的具有最高相似性得分的成员简档，并且在某些情况下呈现给用户。

4. 发明申请

US20130041654A1 AUTOMATED SENTENCE PLANNING IN A TASK CLASSIFICATION SYSTEM 有权
标题翻译：一个任务分类系统中的自动化规划
公开(公告)号：US20130041654A1
公开(公告)日：2013-02-14
申请号：US13470913
申请日：2012-05-14
申请人： Marilyn A. Walker , Owen Christopher Rambow , Monica Rogati
发明人： Marilyn A. Walker , Owen Christopher Rambow , Monica Rogati
IPC分类号： G06F17/27
CPC分类号： G10L13/027 , G10L15/1822 , G10L15/22 , H04M3/4936 , H04M2201/40 , H04M2203/355
摘要： Disclosed is a task classification system that interacts with a user. The task classification system may include a recognizer that may recognize symbols in the user's input communication, and a natural language understanding unit that may determine whether the user's input communication can be understood. If the user's input communication can be understood, the natural language understanding unit may generate understanding data. The system may also include a communicative goal generator that may generate communicative goals based on the symbols recognized by the recognizer and understanding data from the natural language understanding unit. The generated communicative goals may be related to information needed to be obtained from the user. The system may further include a sentence planning unit that may automatically plan one or more sentences based on the communicative goals generated by the communicative goal generator with at least one of the sentences plans being output to the user.
摘要翻译：公开了与用户交互的任务分类系统。任务分类系统可以包括可以识别用户输入通信中的符号的识别器，以及可以确定用户的输入通信是否可以被理解的自然语言理解单元。如果可以理解用户的输入通信，则自然语言理解单元可以产生理解数据。该系统还可以包括通信目标生成器，其可以基于由识别器识别的符号并且理解来自自然语言理解单元的数据来生成通信目标。所产生的交际目标可能与从用户获得的信息有关。该系统可以进一步包括句子计划单元，其可以基于由通信目标生成器生成的通信目标自动地计划一个或多个句子，其中至少一个句子计划被输出给用户。

5. 发明授权

US07574362B2 Method for automated sentence planning in a task classification system 有权
标题翻译：任务分类系统中自动句子规划的方法
公开(公告)号：US07574362B2
公开(公告)日：2009-08-11
申请号：US10258849
申请日：2002-03-11
申请人： Marilyn A. Walker , Owen Christopher Rambow , Monica Rogati
发明人： Marilyn A. Walker , Owen Christopher Rambow , Monica Rogati
IPC分类号： G10L11/00 , G10L21/00
CPC分类号： G06F17/2765 , G06F17/2881
摘要： The invention relates to a method for sentence planning (120) in a task classification system that interacts with a user. The method may include recognizing symbols in the user's input communication and determining whether the user's input communication can be understood. If the user's communication can be understood, understanding data may be generated (220). The method may further include generating communicative goals (3010) based on the recognized symbols and understanding data. The generated communicative goals (3010) may be related to information needed to be obtained form the user. The method may also include automatically planning one or more sentences (3020) based on the generated communicative goals and outputting at least one of the sentence plans to the user (3080).
摘要翻译：本发明涉及与用户交互的任务分类系统中的句子规划（120）的方法。该方法可以包括识别用户输入通信中的符号并确定用户的输入通信是否可以被理解。如果可以理解用户的通信，则可以产生理解数据（220）。该方法还可以包括基于所识别的符号和理解数据来生成交流目标（3010）。生成的交际目标（3010）可以与用户需要获得的信息有关。该方法还可以包括基于所生成的通信目标自动地规划一个或多个句子（3020），并且向用户输出至少一个句子计划（3080）。

6. 发明授权

US08180647B2 Automated sentence planning in a task classification system 有权
标题翻译：任务分类系统中的自动句子计划
公开(公告)号：US08180647B2
公开(公告)日：2012-05-15
申请号：US13230254
申请日：2011-09-12
申请人： Marilyn A. Walker , Owen Christopher Rambow , Monica Rogati
发明人： Marilyn A. Walker , Owen Christopher Rambow , Monica Rogati
IPC分类号： G06F17/27 , G10L11/00 , G10L21/00
CPC分类号： G10L13/027 , G10L15/1822 , G10L15/22 , H04M3/4936 , H04M2201/40 , H04M2203/355
摘要： The invention relates to a task classification system (900) that interacts with a user. The task classification system (900) may include a recognizer (920) that may recognize symbols in the user's input communication, and a natural language understanding unit (900) that may determine whether the user's input communication can be understood. If the user's input communication can be understood, the natural language understanding unit (930) may generate understanding data. The system may also include a communicative goal generator that may generate communicative goals based on the symbols recognized by the recognizer (920) and understanding data from the natural language understanding unit (930). The generated communicative goals may be related to information needed to be obtained from the user. The system may further include a sentence planning unit (120) that may automatically plan one or more sentences based on the communicative goals generated by the communicative goal generator with at least one of the sentences plans being output to the user.
摘要翻译：本发明涉及与用户交互的任务分类系统（900）。任务分类系统（900）可以包括可以识别用户输入通信中的符号的识别器（920），以及可以确定用户的输入通信是否可以被理解的自然语言理解单元（900）。如果可以理解用户的输入通信，则自然语言理解单元（930）可以生成理解数据。系统还可以包括通信目标生成器，其可以基于由识别器（920）识别的符号并且理解来自自然语言理解单元（930）的数据来生成通信目标。所产生的交际目标可能与从用户获得的信息有关。该系统还可以包括句子计划单元（120），其可以基于由通信目标生成器生成的通信目标自动地计划一个或多个句子，其中至少一个句子计划被输出给用户。

7. 发明授权

US08019610B2 Automated sentence planning in a task classification system 有权
标题翻译：任务分类系统中的自动句子计划
公开(公告)号：US08019610B2
公开(公告)日：2011-09-13
申请号：US12393641
申请日：2009-02-26
申请人： Marilyn A. Walker , Owen Christopher Rambow , Monica Rogati
发明人： Marilyn A. Walker , Owen Christopher Rambow , Monica Rogati
IPC分类号： G06F17/27 , G10L21/00
CPC分类号： G10L13/027 , G10L15/1822 , G10L15/22 , H04M3/4936 , H04M2201/40 , H04M2203/355
摘要： The invention relates to a task classification system (900) that interacts with a user. The task classification system (900) may include a recognizer (920) that may recognize symbols in the user's input communication, and a natural language understanding unit (900) that may determine whether the user's input communication can be understood. If the user's input communication can be understood, the natural language understanding unit (930) may generate understanding data. The system may also include a communicative goal generator that may generate communicative goals based on the symbols recognized by the recognizer (920) and understanding data from the natural language understanding unit (930). The generated communicative goals may be related to information needed to be obtained from the user. The system may further include a sentence planning unit (120) that may automatically plan one or more sentences based on the communicative goals generated by the communicative goal generator with at least one of the sentences plans being output to the user.
摘要翻译：本发明涉及与用户交互的任务分类系统（900）。任务分类系统（900）可以包括可以识别用户输入通信中的符号的识别器（920），以及可以确定用户的输入通信是否可以被理解的自然语言理解单元（900）。如果可以理解用户的输入通信，则自然语言理解单元（930）可以生成理解数据。系统还可以包括通信目标生成器，其可以基于由识别器（920）识别的符号并且理解来自自然语言理解单元（930）的数据来生成通信目标。所产生的交际目标可能与从用户获得的信息有关。该系统还可以包括句子计划单元（120），其可以基于由通信目标生成器生成的通信目标自动地计划一个或多个句子，其中至少一个句子计划被输出给用户。

8. 发明授权

US07949537B2 Method for automated sentence planning in a task classification system 有权
标题翻译：任务分类系统中自动句子规划的方法
公开(公告)号：US07949537B2
公开(公告)日：2011-05-24
申请号：US12500718
申请日：2009-07-10
申请人： Marilyn A. Walker , Owen Christopher Rambow , Monica Rogati
发明人： Marilyn A. Walker , Owen Christopher Rambow , Monica Rogati
IPC分类号： G10L21/06 , G10L21/00 , G06F17/27
CPC分类号： G06F17/2765 , G06F17/2881
摘要： The invention relates to a method for sentence planning (120) in a task classification system that interacts with a user. The method may include recognizing symbols in the user's input communication and determining whether the user's input communication can be understood. If the user's communication can be understood, understanding data may be generated (220). The method may further include generating communicative goals (3010) based on the recognized symbols and understanding data. The generated communicative goals (3010) may be related to information needed to be obtained form the user. The method may also include automatically planning one or more sentences (3020) based on the generated communicative goals and outputting at least one of the sentence plans to the user (3080).
摘要翻译：本发明涉及与用户交互的任务分类系统中的句子规划（120）的方法。该方法可以包括识别用户输入通信中的符号并确定用户的输入通信是否可以被理解。如果可以理解用户的通信，则可以产生理解数据（220）。该方法还可以包括基于所识别的符号和理解数据来生成交流目标（3010）。产生的交际目标（3010）可以与用户需要获得的信息有关。该方法还可以包括基于所生成的通信目标自动地规划一个或多个句子（3020），并向用户输出至少一个句子计划（3080）。

9. 发明授权

US07516076B2 Automated sentence planning in a task classification system 有权
标题翻译：任务分类系统中的自动句子计划
公开(公告)号：US07516076B2
公开(公告)日：2009-04-07
申请号：US10258532
申请日：2002-03-11
申请人： Marilyn A. Walker , Owen Christopher Rambow , Monica Rogati
发明人： Marilyn A. Walker , Owen Christopher Rambow , Monica Rogati
IPC分类号： G10L11/00 , G10L21/00
CPC分类号： G10L13/027 , G10L15/1822 , G10L15/22 , H04M3/4936 , H04M2201/40 , H04M2203/355
摘要： The invention relates to a task classification system (900) that interacts with a user. The task classification system (900) may include a recognizer (920) that may recognize symbols in the user's input communication, and a natural language understanding unit (900) that may determine whether the user's input communication can be understood. If the user's input communication can be understood, the natural language understanding unit (930) may generate understanding data. The system may also include a communicative goal generator that may generate communicative goals based on the symbols recognized by the recognizer (920) and understanding data from the natural language understanding unit (930). The generated communicative goals may be related to information needed to be obtained from the user. The system may further include a sentence planning unit (120) that may automatically plan one or more sentences based on the communicative goals generated by the communicative goal generator with at least one of the sentences plans being output to the user.
摘要翻译：本发明涉及与用户交互的任务分类系统（900）。任务分类系统（900）可以包括可以识别用户输入通信中的符号的识别器（920），以及可以确定用户的输入通信是否可以被理解的自然语言理解单元（900）。如果可以理解用户的输入通信，则自然语言理解单元（930）可以生成理解数据。系统还可以包括通信目标生成器，其可以基于由识别器（920）识别的符号并且理解来自自然语言理解单元（930）的数据来生成通信目标。所产生的交际目标可能与从用户获得的信息有关。该系统还可以包括句子计划单元（120），其可以基于由通信目标生成器生成的通信目标自动地计划一个或多个句子，其中至少一个句子计划被输出给用户。

10. 发明申请

US20120226623A1 METHODS AND SYSTEMS FOR EXPLORING CAREER OPTIONS 审中-公开
标题翻译：探索职业选择的方法和系统
公开(公告)号：US20120226623A1
公开(公告)日：2012-09-06
申请号：US13251954
申请日：2011-10-03
申请人： Russell Jurney , Monica Rogati , Dhanurjay A.S. Patil , Chris Riccomini , Joshua Lee Fleetwood , Peter N. Skomoroch , Micah Alpern
发明人： Russell Jurney , Monica Rogati , Dhanurjay A.S. Patil , Chris Riccomini , Joshua Lee Fleetwood , Peter N. Skomoroch , Micah Alpern
IPC分类号： G06Q10/06
CPC分类号： G06Q10/105 , G06Q50/01
摘要： Techniques for presenting career information are described. Consistent with some embodiments, the profile data of members of a social network service is analyzed to generate a set of probabilities for use in predicting career transitions. Based on some profile data (e.g., academic major, academic degree, desired industry, etc.) provided by a user, the derived probabilities are used to predict a set of job titles likely to be of interest to the user. By repeating this process, the user can generate a career path, which is displayed in a visual and interactive manner, enabling the user to explore various aspects of different careers, industries and jobs.
摘要翻译：描述了介绍职业信息的技术。与一些实施例一致，分析社交网络服务的成员的简档数据以生成用于预测职业转换的一组概率。基于由用户提供的一些简档数据（例如，学术专业，学位，期望的行业等），所导出的概率被用于预测用户可能感兴趣的一组职位。通过重复该过程，用户可以生成以视觉和交互的方式显示的职业路径，使得用户能够探索不同职业，行业和工作的各个方面。

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